- 491 Views
- 4 replies
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Best Development Strategies for Building Reusable Data Engineering Components in Databricks
I’m looking to gather insights from data engineers, architects, and developers who have experience building scalable pipelines in Databricks. Specifically, I want to understand how to design, implement, and manage reusable data engineering components...
- 491 Views
- 4 replies
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The best strategy is to build modular, parameterized, Delta-optimized functions and package them into reusable Python modules, while keeping Databricks notebooks only for orchestration. This creates consistent, scalable, and easily maintainable data ...
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- 488 Views
- 2 replies
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How realistic is truly end-to-end LLMOps on Databricks?
Databricks is positioning the platform as a full stack for LLM development — from data ingestion → feature/embedding pipelines → fine-tuning (Mosaic AI) → evaluation → deployment (Model Serving) → monitoring (Lakehouse Monitoring).I’m curious about r...
- 488 Views
- 2 replies
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Thank You @Gecofer for taking the time to share such a clear, experience-backed breakdown of where Databricks shines and where real-world LLM Ops architectures still need supporting components. Your explanation was incredibly practical and resonates ...
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- 364 Views
- 3 replies
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Resolved! Software engineering in data bricks
I'm a software engineer and a bit new to databricks. My goal is to create a model serving endpoint, that interfaces with several ML models. Traditionally this would look like:API--> Service --> DataNow using databricks, my understanding is that it w...
- 364 Views
- 3 replies
- 3 kudos
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Just register model and then deploy service endpoint to serve this model.
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- 153 Views
- 1 replies
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Webinar: From PoC to Production: Delivering with Confidence with Databricks
Our final webinar of December is here and we are closing the year with a powerhouse session!SpeakersAs many organisations still get stuck in the PoC phase, we’re bringing clarity, structure, and real delivery practices to help teams move from promi...
- 153 Views
- 1 replies
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Appreciate you sharing this with the community, @bianca_unifeye!
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- 467 Views
- 3 replies
- 2 kudos
Using Databricks for Real-Time App Data
I’m exploring how to handle real-time data for an application and I keep seeing Databricks recommended as a strong option — especially with its support for streaming pipelines, Delta Live Tables, and integrations with various event sources. That said...
- 467 Views
- 3 replies
- 2 kudos
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Databricks is very effective for real-time app data because it supports streaming data processing using Apache Spark and Delta Lake. It helps handle large data volumes, provides low-latency analytics, and makes it easier to build scalable event-drive...
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- 11773 Views
- 7 replies
- 2 kudos
Alter table to add/update multiple column comments
I was wondering if there's a way to alter table and add/update comments for multiple columns at once using SQL or API calls. For instance - ALTER TABLE <table_name> CHANGE COLUMN <col1> COMMENT '<comment1>',CHANGE COLUMN <col2> COMMENT 'comment2' ; ...
- 11773 Views
- 7 replies
- 2 kudos
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The correct SQL syntax for this is:ALTER TABLE your_table_name ALTER COLUMN col1 COMMENT 'comment1', col2 COMMENT 'comment2', col3 COMMENT 'comment3';
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- 341 Views
- 3 replies
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How to Connect Databricks with Web and Mobile Apps
Hi everyone,I’m exploring ways to leverage Databricks for building data-driven web and mobile applications and wanted to get some insights from this community. Databricks is great for processing large datasets, running analytics, and building machine...
- 341 Views
- 3 replies
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Check Databricks Apps - you pass databricks resources and then use databricks-sdk to interact with them.
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- 686 Views
- 1 replies
- 3 kudos
Data Engineering Lessons
Getting into the data space can feel overwhelming, with so many tools, terms, and technologies. But after years inExpect failure. Design for it.Jobs will fail. The data will be late. Build systems that can recover gracefully, and continually monitor ...
- 686 Views
- 1 replies
- 3 kudos
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Hi @boitumelodikoko A few more principles I always share with people entering the data space:Observability is non-negotiable.If you can’t see what your pipelines are doing, you can’t fix what breaks.Good logging, metrics, and alerts save countless ho...
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- 1189 Views
- 2 replies
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On Demand Pool Configuration & Policy definition
I'm using Job cluster and created compute policies for library management and now I'm trying to use pools in databricks. I'm getting error like this : Cluster validation error: Validation failed for azure_attributes.spot_bid_max_price from pool, the ...
- 1189 Views
- 2 replies
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This error occurs because instance pools require a concrete spot bid max price value, even if the cluster policy marks it as unlimited. Set an explicit value (e.g., 100) directly in the instance pool configuration, or switch the pool to on-demand nod...
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- 5839 Views
- 2 replies
- 2 kudos
How to resolve "cannot import name 'Iterable' from 'collections'" error?
I'm running a DBR/Spark job using a container. I've set docker_image.url to `docker.io/databricksruntime/standard:13.3-LTS`, as well as the Spark env var `DATABRICKS_RUNTIME_VERSION=13.3`. At runtime, however, I'm encountering this error: ImportError...
- 5839 Views
- 2 replies
- 2 kudos
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Go to Compute → Your Cluster / Job ComputeChange Databricks Runtime to:Databricks Runtime 13.3 LTSRe-run your job with the same container.
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- 449 Views
- 6 replies
- 4 kudos
Resolved! Extract all users from Databricks Groups
Hey everyone,we are trying to get an overview of all users that we have in our databricks groups. We have tried to do so with the REST API as well as the SQL-queries (with normal developer accounts as well as workspace administrator accounts). The pr...
- 449 Views
- 6 replies
- 4 kudos
- 4 kudos
Use the Databricks SQL system users tableSELECT * FROM system.usersOnly shows fully provisioned users Users pending invitation may not appear.
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- 252 Views
- 2 replies
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How to create a lakebase table ?
Hi databricks community, I want to create a lakebase table that is synced with the delta table . So whenever the delta table is updated the changes should be available in lakebase table. Now I want to create a databricks streamlit application and ma...
- 252 Views
- 2 replies
- 1 kudos
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Yes, it’s possible to have a Lakehouse table synced with a Delta table in Unity Catalog. You have a few options:Direct read: Register the Delta table in Unity Catalog and query it directly from your Streamlit app.Delta Live Tables (DLT): Create a DLT...
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- 179 Views
- 1 replies
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Help me with the databricks streamlit application related doubt
Hi Databricks community ,Hi I have a doubt regarding databricks streamlit application . I have a databricks streamlit application that takes input values from the user through streamlit UI. Now I want to store these input values in a delta table in U...
- 179 Views
- 1 replies
- 1 kudos
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Hi @gokkul ,Your app service principal needs to have a proper permission to write to UC table. You also need to use python databricks sdk to interact with UC object (i.e read/save a table).You can get some inspiration from following databricks cookbo...
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- 909 Views
- 7 replies
- 4 kudos
Resolved! How to Optimize Data Pipeline Development on Databricks for Large-Scale Workloads?
Hi everyone,I’m working on building and optimizing data pipelines in Databricks, especially for large-scale workloads, and I want to learn from others who have hands-on experience with performance tuning, architecture decisions, and best practices.I’...
- 909 Views
- 7 replies
- 4 kudos
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Optimizing Databricks pipelines for large-scale workloads mostly comes down to smart architecture + efficient Spark practices.Key tips from real-world users:Use Delta Lake – for ACID transactions, incremental updates, and schema enforcement.Partition...
- 4 kudos
- 1443 Views
- 2 replies
- 2 kudos
Databricks community group in Kerala
Calling All Data Enthusiasts in Kerala! Hey everyone,I'm excited about the idea of launching a Databricks Community Group here in Kerala! This group would be a hub for learning, sharing knowledge, and networking among data enthusiasts, analysts, a...
- 1443 Views
- 2 replies
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Great initiative! It's good to see the tech community growing here. I’m representing Fegno Technologies, a web and mobile app development company in Kochi. We are always keen to stay updated on the latest data engineering trends and cloud platforms.
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